feat: add governed Mol nature value layer

frontend/src/components/map/MapWorkspace.tsx

@@ -13,7 +13,7 @@ const EMPTY_TEMPORAL_SERIES: DatasetCreateResponse[] = []
 const MOL_PROJECT_NAME = 'Mol Municipality Workbench'
 const KEMPEN_PROJECT_NAME = 'Kempen Regional Workbench'
 
-type DataThemeId = 'buildings' | 'population' | 'forest' | 'water' | 'roads' | 'parcels'
+type DataThemeId = 'buildings' | 'population' | 'forest' | 'nature_value' | 'water' | 'roads' | 'parcels'
 
 interface DataTheme {
   id: DataThemeId
@@ -51,6 +51,13 @@ const DATA_THEMES: DataTheme[] = [
     description: 'Bos, natuur en groenbedekking uit een ingeladen vectorbron.',
     tokens: ['forest', 'forestry', 'woodland', 'bos', 'groen', 'vegetation'],
   },
+  {
+    id: 'nature_value',
+    label: 'Natuurwaarde',
+    shortLabel: 'BWK-oppervlakte',
+    description: 'Biologische waardering, Natura 2000-habitat en regionaal belangrijke biotopen uit de BWK.',
+    tokens: ['nature_value', 'nature value', 'natuurwaarde', 'bwk', 'natura2000', 'natura 2000', 'biodiversity'],
+  },
   {
     id: 'water',
     label: 'Water',
@@ -78,6 +85,7 @@ const DATA_THEME_MAP_STYLES: Record<DataThemeId, { fill: string; line: string }>
   buildings: { fill: '#d45f3d', line: '#9f3e24' },
   population: { fill: '#7559a6', line: '#5b3f88' },
   forest: { fill: '#347950', line: '#225f3b' },
+  nature_value: { fill: '#9a4f64', line: '#74364a' },
   water: { fill: '#2676a8', line: '#155b85' },
   roads: { fill: '#6b7280', line: '#4b5563' },
   parcels: { fill: '#a7792f', line: '#7d571f' },
@@ -111,6 +119,7 @@ function pickThemeDataset(datasets: DatasetCreateResponse[], theme: DataTheme):
       (dataset.reference_layer_name && theme.tokens.includes(dataset.reference_layer_name.toLowerCase()) ? 1_000_000 : 0) +
       (dataset.source_name === 'grb' ? 100_000 : 0) +
       (dataset.source_name === 'department_omgeving_land_use' ? 90_000 : 0) +
+      (dataset.source_name === 'inbo_bwk_natura2000' ? 95_000 : 0) +
       (dataset.dataset_role === 'reference' ? 10_000 : 0) +
       (dataset.observed_at ? new Date(dataset.observed_at).getTime() / 100_000_000 : 0) +
       (dataset.feature_count ?? dataset.vector_summary?.feature_count ?? 0)